PNN神经网络在地震反演中的应用
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摘要
本文论述了基于PNN神经网络的地震反演技术的基本原理和流程,对其中的关键技术环节做了初步探讨。神经网络可以实现地震数据和测井数据之间的复杂关系,从而可以反映储层参数之间的关系,有利于推测地下岩层的物性参数。利用神经网络技术反演得到结果在预测了储层的发育上具有一定的前景。
This paper discusses the keystone and processes of probabilistic neural networks in Seismic inversion,and makes a preliminary exploration on some important details.The complex relationship of Seismic data and well log data could be actualized by neural networks,it could reflect the relationship of reservoir parameters,in favor of forecasting physical parameters of belowground terranes.The results obtained show that the results obtained form probabilistic neural networks is very promising in forecasting developmental of reservoir.
This paper discusses the keystone and processes of probabilistic neural networks in Seismic inversion,and makes a preliminary exploration on some important details.The complex relationship of Seismic data and well log data could be actualized by neural networks,it could reflect the relationship of reservoir parameters,in favor of forecasting physical parameters of belowground terranes.The results obtained show that the results obtained form probabilistic neural networks is very promising in forecasting developmental of reservoir.
引文
[1]田景文.人工神经网络算法研究及应用[M].北京:北京理工大学出版社,2006.
[2]杨立强,等.基于BP神经网络的波阻抗反演及应用[J].地球物理学进展,2005,20(1):34~37.
[3]栾颖,等.波阻抗反演技术的研究现状及发展[J].吉林大学学报(地球科学版),2008,38:94~97.
[4]苏君毅,等.PNN网络在预测M CS移动中的应用[J].上海地质,2004,(3):27~30.
[5]程国建,等.概率神经网络方法在岩性识别中的应用[J].微计算机信息,2007,23(6~1):288~289.
[6]明君,等.多属性神经网络地震反演在NB油田水平井钻探中的应用[J].中国海上油气,
[2]杨立强,等.基于BP神经网络的波阻抗反演及应用[J].地球物理学进展,2005,20(1):34~37.
[3]栾颖,等.波阻抗反演技术的研究现状及发展[J].吉林大学学报(地球科学版),2008,38:94~97.
[4]苏君毅,等.PNN网络在预测M CS移动中的应用[J].上海地质,2004,(3):27~30.
[5]程国建,等.概率神经网络方法在岩性识别中的应用[J].微计算机信息,2007,23(6~1):288~289.
[6]明君,等.多属性神经网络地震反演在NB油田水平井钻探中的应用[J].中国海上油气,
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